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Learn Docker - Fundamentals of Docker 19.x

You're reading from   Learn Docker - Fundamentals of Docker 19.x Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838827472
Length 592 pages
Edition 2nd Edition
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Motivation and Getting Started
2. What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Setting Up a Working Environment 4. Section 2: Containerization, from Beginner to Black Belt
5. Mastering Containers 6. Creating and Managing Container Images 7. Data Volumes and Configuration 8. Debugging Code Running in Containers 9. Using Docker to Supercharge Automation 10. Advanced Docker Usage Scenarios 11. Section 3: Orchestration Fundamentals and Docker Swarm
12. Distributed Application Architecture 13. Single-Host Networking 14. Docker Compose 15. Orchestrators 16. Introduction to Docker Swarm 17. Zero-Downtime Deployments and Secrets 18. Section 4: Docker, Kubernetes, and the Cloud
19. Introduction to Kubernetes 20. Deploying, Updating, and Securing an Application with Kubernetes 21. Monitoring and Troubleshooting an App Running in Production 22. Running a Containerized App in the Cloud 23. Assessments 24. Other Books You May Enjoy

Chapter 15

Here are some sample answers to the questions presented in this chapter:

  1. The Kubernetes master is responsible for managing the cluster. All requests to create objects, reschedule pods, manage ReplicaSets, and more happen on the master. The master does not run the application workload in a production or production-like cluster.
  2. On each worker node, we have the kubelet, the proxy, and container runtime.
  3. The answer is A. Yes. You cannot run standalone containers on a Kubernetes cluster. Pods are the atomic units of deployment in such a cluster.
  4. All containers running inside a pod share the same Linux kernel network namespace. Thus, all processes running inside those containers can communicate with each other through localhost in a similar way to how processes or applications directly running on the host can communicate with each...
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